Own the enforcement lifecycle for defined abuse and enforcement areas, from problem framing through signal discovery, model development, thresholding, rollout, and iteration.
Analyze large-scale behavioral, content, account, and network data to identify adversarial patterns, emerging threats, and gaps in existing mitigations.
Partner with Engineering, Policy, and Safety Operations to productionize detection systems, define launch guardrails, and measure real-world impact.
Own the enforcement lifecycle for defined abuse areas, from problem framing and signal discovery to model development, rollout, and monitoring.
Analyze large-scale behavioral, content, account, and network data to identify adversarial patterns and emerging threats.
Build and evaluate decision systems using statistical, ML, or GenAI methods, and partner with engineering to productionize them.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
Analyze and investigate existing detection logic built on multiple interconnected signals and rule-based expressions.
Understand and map complex data flows, processing pipelines, and dependencies across enterprise systems.
Propose simplification and optimization approaches while preserving detection quality and operational effectiveness.
Sigma Software is a global cybersecurity company delivering enterprise-grade security and risk mitigation solutions. They operate in a data-driven environment with large-scale signal processing and detection systems, working with experienced international teams in a fast-paced setting.
Analyze large-scale behavioral, transactional, and interaction data to uncover fraud signals.
Develop monitoring frameworks and dashboards to respond swiftly to emerging fraud threats.
Evaluate AI review agent quality and partner with Machine Learning to improve model features.
Extend provides AI-driven post-purchase solutions for retailers, including fraud detection, automated customer service, returns, and product protection. They work with over 1,000 merchant partners, are backed by prominent tech investors, and are headquartered in downtown San Francisco.
Build credit scoring models, improve fraud detection, and design A/B tests for promotions.
Partner with product and operations teams to generate insights and drive decisions.
Take ownership of analytics projects from scoping to communicating findings to stakeholders.
Wave is building financial services to make Africa the first cashless continent, offering mobile money that works anywhere. With millions of users across 9 countries and a rapidly growing team, we foster autonomy and are backed by world-class investors.
Own end-to-end analytical projects, translating policy questions into data-driven insights for state criminal justice leaders.
Use SQL and Python to wrangle complex corrections and parole data and model policy scenarios.
Prepare clear decks and memos that help decision-makers understand tradeoffs and drive reform.
Recidiviz builds technology to reduce incarceration and improve outcomes for people in the criminal justice system. It is a small nonprofit working with over 20 state partners, covering 46% of the U.S. incarcerated population.
Own Trust & Safety policies, enforcement standards, and governance processes for the marketplace.
Analyze risk trends and incidents to turn data into actionable policy and product recommendations.
Partner on marketplace integrity, including fraud and abuse detection, referral abuse, and suspicious booking behavior.
Kindred is a members-only home swapping platform connecting trusted peers to exchange primary residences. Since 2022, it has grown to 300,000 members globally and raised over $150M, fostering a culture of high standards and inclusivity.
Build LLM-powered agents and production ML systems to automate security analysis.
Collaborate with threat-research and data engineering to turn risk identification into scalable solutions.
Own deployment, monitoring, and quality of solutions in CI/CD frameworks.
Zscaler accelerates digital transformation with its Zero Trust Exchange platform, protecting customers from cyberattacks and data loss. The company is the world's largest in-line cloud security platform, distributed across 160+ exchanges, with an AI-native culture focused on ownership, collaboration, and trust.
Explore complex datasets to identify fraud patterns and behavioral signals.
Build and evaluate machine learning models for fraud detection across account opening and identity risk.
Write clean, well-tested code and work with engineering to bring models into production.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We have an amazing team of 25,200 people in 32 countries, with a people-first, inclusive and purpose-driven culture.
Own fraud performance for depository products, monitoring losses, approval rates, false positives, and customer friction.
Build scalable data models, dashboards, and metrics to provide visibility into fraud risk and portfolio health.
Develop fraud strategies and partner with Product, Engineering, ML, and Operations to improve detection.
Affirm is a financial technology company offering consumers a clear, predictable way to pay over time with no hidden fees. We are a remote-first company with a culture focused on care, transparency, and flexibility.
Design, develop, and implement data science, statistical modeling, and machine learning solutions.
Analyze large, complex datasets to identify trends, patterns, and actionable insights.
Build dashboards and visualizations using Power BI and Tableau, and communicate findings to technical and non-technical audiences.
DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA, supporting public sector agencies and commercial enterprises globally. Recognized as a Top Workplace, DMI is committed to delivering secure, efficient, and cost-effective solutions that drive measurable results.
Review customer signals, user exchanges, and code to identify potential policy violations.
Enforce Safeguards workflows and policy guidelines with precision and care.
Collaborate with Strategy Analysts, Policy Managers, and Threat Intelligence Investigators to identify trends and improve safety.
We provide talent acquisition services, including building recruiting processes, attracting top talent, and payrolling contractors. Part of a family of brands alongside Flawless Recruit and Recruiter.com, we have a collaborative, fast-paced culture.
Develop and implement data science strategies to enhance ML models for lead scoring, churn, pricing, personalization, and fraud detection.
Collaborate with engineering and business stakeholders to drive end-to-end data science initiatives from data to deployment.
Communicate findings clearly to technical and non-technical audiences for business impact.
Engine is an AI-native platform for intelligent travel, powering modern business travel with proprietary technology and supply. Serving 40,000+ customers and nearly 2 million travelers, it is recognized as a Best Place to Work with an ambitious, high-ownership culture.
Design, build, and deploy LLM-powered agents that detect spam, harassment, and policy-violating content on Quora.
Develop agentic workflows to automate content moderation and user safety tasks at scale.
Evaluate model performance, investigate failures, and refine AI systems for accuracy and efficiency.
Quora is a global knowledge-sharing platform that connects people with expert answers. This role sits on a small, collaborative engineering team with a remote-first culture and a focus on AI safety and content quality.